Senior AI/ML Engineer (Hybrid) job in Rochester

AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency., As a Senior AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. This role is instrumental in providing consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications.

&bull Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. &bull Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions. &bull Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications. &bull Establishing evaluation methodologies and performance metrics to assess AI solutions’ effectiveness, usability, and impact in real-world healthcare settings. &bull Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications. &bull Overseeing the engineering of systems crucial for developing and deploying AI solutions. &bull Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. &bull Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms. &bull Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. &bull Providing consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems. &bull Providing training and education to healthcare staff on AI tools and technologies. &bull Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

&bull A master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, a bachelor’s degree with 6 years of experience. &bull Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. &bull Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes. &bull Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. &bull Demonstrated expertise in cloud infrastructure environment and software development tools. &bull Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. &bull Skilled in AI/ML techniques and frameworks. &bull Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. &bull Demonstrated initiative in administration, education, software development, and technical reporting. &bull A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills., &bull A Ph.D. or other doctorate is preferred. &bull Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc. &bull Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards. &bull Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios. &bull Demonstrated experience leading technical/quantitative teams in a regulated environment. &bull Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry. &bull Strong expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice.

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

Why Mayo Clinic